Preface - kmutt

KMUTT Annual Research Abstracts 2005
dialogue. It uses speech recognition, vision
processing, map processing, search algorithm
and dialogue processing techniques. The system
focuses on computing the meaning from multi
modal input. As an example of proposed
framework for processing meaning, we build a
navigation system using the dialogue system
which can understand utterance by a user and
retrieve information through dialogue.
IC-021 A FINGERPRINT MATCHING
METHOD USING DCT FEATURES
Suwat Tachaphetpiboon,
Thumrongrat Amornraksa
International Symposium on Communications
and Information Technologies 2005 (ISCIT
2005), October 12-17, 2005, Fragrant Hill Hotel,
Beijing, China, pp. 446-449
This paper proposes an extraction
method of DCT features for fingerprint
matching. In the features extraction process, a
fingerprint image is quartered and transformed
by the DCT. The standard deviation of the DCT
coefficients in predefined areas is then
calculated and used for fingerprint matching.
The recognition rate of the proposed method is
evaluated by a k-NN classifier. The results
obtained are finally compared to the existing
method based on the wavelet features. The
processing time required in both features
extraction and matching processes between two
approaches are also compared. With our
proposed method, both higher recognition rate
and lower complexity can be achieved at the
same time.
IC-022 A MATCHING METHOD FOR
FINGERPRINT IMAGES USING SUB-BANDS
OF DWT COEFFICIENTS
Suwat Tachaphetpiboon,
Thumrongrat Amornraksa
The 2005 Electrical Engineering/Electronics,
Computer, Telecommunications, and
Information Technology International
Conference (ECTI-CON 2005), May 12-13,
2005, Asia Pattaya Beach Hotel, Pattaya,
Cholburi, Thailand, pp. 99-102
This paper proposes a ridge feature
based matching method that uses sub-bands of
DWT coefficients to generate fingerprint
features. By properly selecting some sub-bands
85
after a fingerprint image is segmented and
transformed by the DWT, informative features
can be attracted and used for fingerprint
matching purpose. In the paper, we examine two
possible approaches used in determining the
proper sub-bands, obtained from several of
DWT e.g. Daubechies and Symmlet, and
evaluate the performance of our approaches by a
KNN classifier. The experimental results show
that a better improvement in term of recognition
rate is accomplished, compared to the DWT
based matching methods previously introduced
in [6] and [7]. With the proposed method, more
accuracy in fingerprint recognition process can
be achieved.
IC-023 FINGERPRINT MATCHING METHOD
USING ZIGZAG-SCANNED DCT
COEFFICIENTS
Suwat Tachaphetpiboon,
Thumrongrat Amornraksa
The 20 th Commemorative International
Technical Conference on Circuits/Systems,
Computers and Communications (ITC-CSCC
2005), July 4-7, 2005, The Shilla Hotel, Jeju,
Korea, pp. 1171-1172
This paper proposes a matching method
for fingerprint images using zigzag-scanned
DCT coefficients. Basically, every fingerprint
image contains some oscillated patterns
presenting ridge space and ridge orientation, and
these informative features can be frequently
used for fingerprint classification. In our
proposed method, the DCT is considered and
used to extract such informative features for
fingerprint matching purpose. The recognition
rate obtained from the proposed method is
evaluated by a k-NN classifier, and then
compared with the previous matching methods
based on the DWT approach. The results show a
significant improvement in both recognition rate
and computation time required in the features
extraction process. Accordingly, with our
proposed method, the recognition rate is
improved by 1.1% to 13.19%, while the
processing time is reduced by 2.74 to 8.55 times.
IC-024 ZEROTREES BASED DIGITAL
WATERMARKING USING CODED SPEECH
Sataporn Schwindt, Pipat Supasirisun,
Thumrongrat Amornraksa
The 20 th Commemorative International
International Conference